Atlassian Intelligence Updates

Atlassian has made significant advancements in integrating AI into its suite of tools, enhancing productivity, collaboration, and operational efficiency across its platforms. The introduction of Atlassian Intelligence marks a pivotal shift towards leveraging generative AI technology from OpenAI to streamline and optimise various aspects of work within Jira Software, Confluence, and other Atlassian products.

Atlassian's leap into AI is like adding a turbo boost to how teams work together using its tools. Imagine having a smart assistant that not only knows the ins and outs of your projects but also helps everyone get things done faster and easier. Last week, Atlassian hosted a 'Skill up' session which educated their partners on the capability of Atlassian AI, as it's still a very new concept.

Here are some of the key takeaways from the session. 

Key Features and Innovations

• Custom Teamwork Graphs: Utilising large language models, Atlassian Intelligence can analyse how teams collaborate, creating custom graphs to visualise work types and relationships, enriching these insights with data from third-party apps​.
• AI-powered Virtual Assistants: In Jira Service Management, AI-driven virtual agents offer immediate, conversational support through Slack and Microsoft Teams, automating responses based on the analysis of knowledge base articles and user interactions​.
• Generative AI in Content Creation and Management: Within Confluence and Jira, AI assists in generating summaries, drafting responses, and creating test plans or user stories, facilitating quicker decision-making and task execution​.
• Codeium and Cody: For Bitbucket users, AI tools like Codeium offer code autocomplete suggestions, refactoring, and language translation, while Cody provides AI-assisted code suggestions based on a comprehensive analysis of your codebase​.

We'll be showcasing this functionality and more shortly so please stay tuned to see Atlassian AI in action!